Alternatives and similar repositories for genlasso

Users that are interested in genlasso are comparing it to the libraries listed below

• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆88Updated 2 years ago
• glmgen / glmgen
  Generalized lasso implementations
  ☆46Updated last year
• erichson / rSVD
  Randomized Matrix Decompositions using R
  ☆102Updated 4 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• erichson / spca
  Sparse Principal Component Analysis (SPCA) using Variable Projection
  ☆71Updated 7 years ago
• skdeshpande91 / VCBART
  R implementation of VCBART
  ☆22Updated last year
• sumbose / iRF
  iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features
  ☆48Updated 4 years ago
• theodds / SoftBART
  ☆32Updated 3 weeks ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated this week
• hofnerb / stabs
  Stability Selection with Error Control
  ☆26Updated 4 years ago
• YaohuiZeng / grpregOverlap
  Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates
  ☆20Updated 2 years ago
• pcarbo / varbvs
  Large-scale Bayesian variable selection for R and MATLAB.
  ☆41Updated 2 years ago
• stan-dev / loo
  loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
  ☆156Updated last week
• RoheLab / vsp
  Vintage Sparse PCA for Semi-Parametric Network Analysis
  ☆26Updated 2 months ago
• gabriuma / basis_functions_approach_to_GP
  ☆56Updated 3 years ago
• wfithian / optimal-inference
  repo for "Optimal Inference After Model Selection"
  ☆14Updated 8 years ago
• jlmelville / smallvis
  R package for dimensionality reduction of small datasets
  ☆69Updated 2 weeks ago
• kingaa / pomp
  R package for statistical inference using partially observed Markov processes
  ☆118Updated last month
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• bwlewis / irlba
  Fast truncated singular value decompositions
  ☆131Updated last year
• dm13450 / dirichletprocess
  Build dirichletprocess objects for data analysis
  ☆60Updated 2 years ago
• helske / seqHMM
  Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
  ☆100Updated last month
• rrrlw / TDAstats
  R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
  ☆40Updated 3 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• paultpearson / TDAmapper
  (R package) Analyze High-Dimensional Data Using Discrete Morse Theory
  ☆77Updated last year
• hredestig / pcaMethods
  Perform PCA on data with missing values in R
  ☆53Updated 2 years ago
• hazimehh / L0Learn
  Efficient Algorithms for L0 Regularized Learning
  ☆102Updated last year
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆97Updated last year
• pbreheny / grpreg
  Regularization paths for regression models with grouped covariates
  ☆35Updated 2 months ago